Assessing the properties of a colloidal suspension with the aid of deep learning
T Jakubczyk, D Jakubczyk, A Stachurski - Journal of Quantitative …, 2021 - Elsevier
Convolution neural networks were applied to classify speckle images generated from
nanoparticle suspensions and thus to recognise suspensions. The speckle images in the
form of movies were obtained from suspensions placed in a thin cuvette. The classifier was
trained, validated and tested on both single component monodispersive suspensions, as
well as on two-component suspensions. It was able to properly recognise all the 73 classes–
different suspensions from the training set, which is far beyond the capabilities of the human …
nanoparticle suspensions and thus to recognise suspensions. The speckle images in the
form of movies were obtained from suspensions placed in a thin cuvette. The classifier was
trained, validated and tested on both single component monodispersive suspensions, as
well as on two-component suspensions. It was able to properly recognise all the 73 classes–
different suspensions from the training set, which is far beyond the capabilities of the human …